Senior Value Engineer (Public Sector) - Sacramento, CA

Key Responsibilities

• AI Discovery & Solutioning
• Understand public sector AI strategies and specific agency challenges.
• Find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact.
• Pre- and Post-Sales Execution
• Actively drive the full customer lifecycle within the public sector.
• Lead technical discovery and capability demonstrations during the complex government pre-sales and procurement (RFP) cycles, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.
• Hackathons & Prototyping
• Think out of the box, have a „can-do“ attitude, and don’t shy away from complex legacy processes.
• Leverage cutting-edge AI technologies to rapidly build creative prototypes in agency hackathons, solving critical pain points to improve constituent experiences.
• Agentic Process Transformation
• Support our government customers in achieving real value out of AI deployments at scale, enabling a fundamental shift from traditional, rigid, paper-heavy workflows to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent case triaging or automated compliance checks).
• Proof Projects
• End-to-end execution of critical Proof-of-Value projects.
• This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with government enterprise data, identity protocols, and stringent compliance/security frameworks (e.g., StateRAMP, HIPAA, CJIS).

Requirements

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Public Sector (State & Local Government).
• Navigate government procurement cycles, build compelling ROI business cases for public funds, and guide technical implementations through to constituent value realization.
• Deep understanding of business processes native to state and local governments (such as Health & Human Services, Procurement, Finance, DMV operations, or Public Safety) with the ability to translate high-level policy or agency needs into specific, impactful AI use cases.
• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent constituent-facing chatbots, automated processing of policy documents, or grant application analysis).
• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including elected officials, agency directors, and IT leadership), whether leading technical whiteboarding sessions or formal readouts and demos.